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Hand Sign Recognition Based Communication System for Speech Disable People

机译:基于手势识别的残障人士通信系统

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According to the census of India 2011. In India, 70 million people have some kind of disability, among of that 18% of people are speech and hear impaired. That means India is the country which has a large number of people having this kind of disability. These people experience the problem to participate in society and the enjoyment of equal rights and opportunities. Because they don't have the power to express feelings in the form of words and sentence. So the people try to deal with this problem using different techniques. In this paper, a smart hand sign interpretation system using a smart glove is proposed to reduce the communication gap between speech impaired people and the normal people. This wearable system utilizes five flex-sensors, 3-axis accelerometer, one Bluetooth module and 16*2 LCD display. In this system, processor collects data from the 5 flex sensors and accelerometer. Further processor matches the data which is received from the sensors and the previously saved data. If data matched with the saved data then assigned meaning for that data will be displayed on LCD screen and also send it to the Android mobile through Bluetooth. Android mobile app can convert this into voice. So this system has an ability to convert sign language into a voice in a very simple way.
机译:根据2011年印度人口普查。在印度,有7000万人患有某种形式的残疾,其中18%的人的言语和听力障碍。这意味着印度是一个有大量残疾人的国家。这些人在参与社会以及享有平等权利和机会方面遇到问题。因为他们没有能力以言语和句子的形式表达感情。因此人们尝试使用不同的技术来解决这个问题。本文提出了一种使用智能手套的智能手势识别系统,以减少语音障碍人士与正常人之间的沟通距离。这个可穿戴系统利用五个挠性传感器,3轴加速度计,一个蓝牙模块和16 * 2 LCD显示屏。在该系统中,处理器从5个挠性传感器和加速度计收集数据。进一步的处理器将从传感器接收到的数据与先前保存的数据进行匹配。如果数据与保存的数据匹配,则分配给该数据的含义将显示在LCD屏幕上,并通过蓝牙将其发送到Android手机。 Android移动应用程序可以将其转换为语音。因此,该系统具有以非常简单的方式将手语转换为语音的功能。

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